Excess risk bounds in robust empirical risk minimization

16 October 2019

Papers citing "Excess risk bounds in robust empirical risk minimization"

9 / 9 papers shown

Title
On Catoni's M-Estimation Pengtao Li Hanchao Wang 19 0 0 15 Oct 2022
Non-Asymptotic Guarantees for Robust Statistical Learning under Infinite Variance Assumption Lihu Xu Fang Yao Qiuran Yao Huiming Zhang 38 10 0 10 Jan 2022
Uniform Concentration Bounds toward a Unified Framework for Robust Clustering Debolina Paul Saptarshi Chakraborty Swagatam Das Jason Xu 22 16 0 27 Oct 2021
On Empirical Risk Minimization with Dependent and Heavy-Tailed Data Abhishek Roy Krishnakumar Balasubramanian Murat A. Erdogdu 44 18 0 06 Sep 2021
Convergence Rates for Learning Linear Operators from Noisy Data Maarten V. de Hoop Nikola B. Kovachki Nicholas H. Nelsen Andrew M. Stuart 26 54 0 27 Aug 2021
Distribution-Free Robust Linear Regression Jaouad Mourtada Tomas Vaskevicius Nikita Zhivotovskiy OOD 36 23 0 25 Feb 2021
Multivariate mean estimation with direction-dependent accuracy Gabor Lugosi S. Mendelson 37 12 0 22 Oct 2020
Robust $k$ -means Clustering for Distributions with Two Moments Yegor Klochkov Alexey Kroshnin Nikita Zhivotovskiy 25 19 0 06 Feb 2020
Learning without Concentration S. Mendelson 92 333 0 01 Jan 2014